Patient and clinician priorities for information on treatment outcomes for advanced ovarian cancer: a Delphi exercise

Kathryn Baxter, Heather Agnew, Jennie Morgan, Cathrine Holland, Darren Flynn, Richard Edmondson*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Downloads (Pure)

Abstract

Objective
Patients with advanced ovarian cancer face a range of treatment options, and there is unwarranted variation in treatment decision-making between UK providers. Decision support tools that produce data on treatment outcomes as a function of individual patient characteristics, would help both patients and clinicians to make informed, preference- and values-based choices. However, data on treatment outcomes to include in such tools are lacking.

Methods
Following a literature review, a questionnaire was designed for use in a Delphi process to establish which treatment outcomes are important to both patients and clinicians in decision-making for treatment for advanced ovarian cancer. Patient and clinician panels were established.

Results
Following 2 Delphi rounds, consensus was achieved for 7/11 items in the patient panel and 8/11 items in the clinician panel. Consensus across both panels was achieved for inclusion of both overall survival and progression free survival as important items in the decision-making process, although there remained differences of opinion as to whether these should be presented as relative or absolute values.

Conclusion
Information needs for treatment decision-making in ovarian cancer differ between and within patient and clinician groups. Whilst overall survival and progression free survival are universally accepted as important data items, decision support tools will need to be nuanced to allow presentation of a range of outcomes and associated probabilities, and in a range of formats, that can be tailored to the preferences of clinician and patients.
Original languageEnglish
Article numbere63
Pages (from-to)1-10
Number of pages10
JournalJournal of Gynecologic Oncology
Volume35
Early online date21 Mar 2024
DOIs
Publication statusE-pub ahead of print - 21 Mar 2024

Cite this